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Back to good results on landmarks with new interface.

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This commit is contained in:
Tadas Baltrusaitis 2017-11-24 21:31:41 +00:00
parent fc8fe65f78
commit 77cf256dc3
3 changed files with 12 additions and 12 deletions
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6
matlab_runners/Feature Point Experiments/Run_OF_on_images.m
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@ -98,7 +98,7 @@ for i=1:numel(dirs)
curr = curr+1; curr = curr+1;
gt_landmarks = dlmread([dirs{i}, gt_labels(g).name], ' ', 'A4..B71'); gt_landmarks = dlmread([dirs{i}, gt_labels(g).name], ' ', 'A4..B71');
[~, name, ~] = gt_labels(g).name; [~, name, ~] = fileparts(gt_labels(g).name);
% find the corresponding detection % find the corresponding detection
all_params = dlmread([landmark_det_dir, name, '.csv'], ',', 1, 0); all_params = dlmread([landmark_det_dir, name, '.csv'], ',', 1, 0);
@ -125,8 +125,8 @@ if(size(shapes,2) == 66 && size(labels,2) == 68)
shapes = shapes(inds_66,:,:); shapes = shapes(inds_66,:,:);
end end
% Center the pixel % Center the pixel, and convert to OCV format
labels = labels - 0.5; labels = labels - 1.5;
err_outline = compute_error(labels, shapes); err_outline = compute_error(labels, shapes);

16
matlab_runners/Feature Point Experiments/results/landmark_detections.txt
View file

@ -1,9 +1,9 @@
Type, mean, median Type, mean, median
err clnf: 0.054348, 0.040034 err clnf: 0.054470, 0.039988
err clnf wild: 0.053107, 0.038525 err clnf wild: 0.053170, 0.038478
err svr: 0.070552, 0.050640 err svr: 0.070548, 0.050640
err svr wild: 0.067452, 0.048706 err svr wild: 0.067535, 0.048706
err clnf no out: 0.043081, 0.029782 err clnf no out: 0.043237, 0.030025
err clnf wild no out: 0.041386, 0.027463 err clnf wild no out: 0.041457, 0.027522
err svr no out: 0.058766, 0.038836 err svr no out: 0.058768, 0.038836
err svr wild no out: 0.054020, 0.036252 err svr wild no out: 0.054166, 0.036251

2
matlab_runners/Feature Point Experiments/run_OpenFace_feature_point_tests_300W.m
View file

@ -77,7 +77,7 @@ load('landmark_det_baselines/zhu_wild.mat');
load('out_wild_clnf_wild/res.mat'); load('out_wild_clnf_wild/res.mat');
for i=1:size(labels,3) for i=1:size(labels,3)
diffs = squeeze(sum(sum(bsxfun(@plus, labels_all(18:end,:,:)-0.5, - labels([18:60,62:64,66:end],:,i)),1),2)); diffs = squeeze(sum(sum(bsxfun(@plus, labels_all(18:end,:,:)-1.5, - labels([18:60,62:64,66:end],:,i)),1),2));
inds_in_cpp = cat(1, inds_in_cpp, find(diffs == 0)); inds_in_cpp = cat(1, inds_in_cpp, find(diffs == 0));
end end